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Record W569425820 · doi:10.20361/g25w2x

An Infidel in Paradise by S.J. Laidlaw

2013· article· en· W569425820 on OpenAlexvenueaboutno aff
Jorden Smith

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsParadiseDramaFeelingRomanceSisterHistorySociologyLiteratureArtPsychoanalysisGender studiesArt historyPsychologyAnthropologySocial psychology

Abstract

fetched live from OpenAlex

Laidlaw, S.J. An Infidel in Paradise. Toronto: Tundra Books, 2013. Print.In S.J. (Susan) Laidlaw’s first novel, she takes us to a contemporary Canadian diplomatic compound in Pakistan. Emma, the sixteen-year-old protagonist, has been suddenly uprooted from a comfortable life in the Philippines. Her father has left her family and her mother has moved Emma and her two siblings to Islamabad. Suffering from culture shock, adjusting to a new school, and playing parent to her younger sister, Emma is frustrated and takes her anger out on her family. Emma offends a dreamy young man, Mustapha, whom she meets on her first day at her new school and she is subsequently labeled as rude and racist. However, we know from listening to Emma’s inner dialogue that she is neither, and her interactions reinforce this. In the time-honored literary romance tradition, Emma’s clash with Mustapha does not prevent them from developing feelings for each other. Mustapha, however, is promised in an arranged marriage. Their drama comes to a head when threats against the American embassies shake the international community in Islamabad, leaving Emma in a life threatening situation.This novel is well-written and wonderfully real. Emma’s anger with a sub-text of guilt, her raw frustration with her new situation, and her inability to deal with her feelings all rang true. The little touches, like Emma’s interaction with a slobbery dog, hit home: “He licks my hand, which is gross but also comforting. I wipe it on my jeans when he’s not looking”. Emma cares about the people and creatures around her, although she is terrified of being hurt. She is angry at her parents, but she also understands why they separated. Her feelings of being alone are exasperated by the extreme culture shock and she is having trouble coping. Emma’s flouting of local tradition caught me by surprise; for one so well-traveled with a diplomat parent, she did not give much credence to local customs. Perhaps it is her form of rebellion.Laidlaw addresses socio-cultural issues with honesty and frankness. She does not separate the ‘us’ from the ‘them,’ identifying cultural boundaries but noting the permeability of those boundaries. Laidlaw broaches intercultural conflict openly, acknowledging that her protagonists’ countrymen are not necessarily welcome, but few people mean to cause harm.I would recommend this book for anyone 12 and up. A somewhat graphic scene near the end of the book may be too much for younger readers. I hope Laidlaw continues with additional novels as these themes are critical to explore and she does it so well. Note: my favorite part of the novel is the Urdu glossary at the back; it’s a very nice touch.Recommended: 3 out of 4 starsReviewer: Jorden SmithJorden Smith joins the team as a book reviewer. Jorden is a Public Services Librarian in Rutherford Humanities and Social Sciences Library at the University of Alberta. She is an avid fiction reader and subscribes to Hemingway’s belief that “there is no friend as loyal as a book.”

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.061
Threshold uncertainty score0.205

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.002
Scholarly communication0.0040.005
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0610.024

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.233
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2013
Admission routes2
Has abstractyes

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